• DocumentCode
    656209
  • Title

    Performance Evaluation of NAS Parallel Benchmarks on Intel Xeon Phi

  • Author

    Ramachandran, Aditi ; Vienne, Jerome ; Van Der Wijngaart, Rob ; Koesterke, Lars ; Sharapov, Ilya

  • Author_Institution
    Univ. of Texas at Dallas, Dallas, TX, USA
  • fYear
    2013
  • fDate
    1-4 Oct. 2013
  • Firstpage
    736
  • Lastpage
    743
  • Abstract
    NAS parallel benchmarks (NPB) are a set of applications commonly used to evaluate parallel systems. We use the NPB-OpenMP version to examine the performance of the Intel´s new Xeon Phi co-processor and focus in particular on the many core aspect of the Xeon Phi architecture. A first analysis studies the scalability up to 244 threads on 61 cores and the impact of affinity settings on scaling. It also compares performance characteristics of Xeon Phi and traditional Xeon CPUs. The application of several well-established optimization techniques allows us to identify common bottlenecks that can specifically impede performance on the Xeon Phi but are not as severe on multi-core CPUs. We also find that many of the OpenMP-parallel loops are too short (in terms of the number of loop iterations) for a balanced execution by 244 threads. New or redesigned benchmarks will be needed to accommodate the greatly increased number of cores and threads. At the end, we summarize our findings in a set recommendations for performance optimization for Xeon Phi.
  • Keywords
    microprocessor chips; optimisation; parallel processing; performance evaluation; Intel new Xeon Phi coprocessor; NAS parallel benchmarks; NPB-OpenMP version; OpenMP parallel loops; Xeon Phi architecture; optimization techniques; parallel systems; performance evaluation; Benchmark testing; Bridges; Computer architecture; Hardware; Instruction sets; Optimization; Vectors; Multicore processing; Parallel programming; Performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing (ICPP), 2013 42nd International Conference on
  • Conference_Location
    Lyon
  • ISSN
    0190-3918
  • Type

    conf

  • DOI
    10.1109/ICPP.2013.87
  • Filename
    6687412